Introduction to Artificial Neural Network | Set 2

Prerequisite : Introduction to Artificial Neural Network
This article provides the outline for understanding the Artificial Neural Network.
Characteristics of Artificial Neural Network

  • It is neurally implemented mathematical model
  • It contains huge number of interconnected processing elements called neurons to do all operations
  • Information stored in the neurons are basically the weighted linkage of neurons
  • The input signals arrive at the processing elements through connections and connecting weights.
  • It has the ability to learn , recall and generalize from the given data by suitable assignment and adjustment of weights.
  • The collective behavior of the neurons describes its computational power, and no single neuron carries specific information .